Joniz

Joniz — CS2 Stats

NO76561198320058802[U:1:359793074]Steam profile ↗✓ No bans

1,029Tracked matches61%Win rate2020Tracked since
1,639Hours in CS
CSDB Rating4.9 DevelopingClutch Specialist
Premier CS Rating17,546Purple band · top ~18.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 May 2026 (150 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: 17,546 +7,996 27 Sept – 1 May · 11 days played
9,55019,024peak 19,02427 Sept1 May
19,146Peak Premier in tracked matches
31Days played since 2025-09-12

Premier CS Rating

  • 1,478 below peak (19,024)
  • Next: Pink band at 20,000 — 2,454 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,854), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate43.6%44.8%45.7%2.1% short
Shot accuracy15.5%12.4%12.7%above
Kill/death ratio0.831.031.050.22 short
Match win rate44.7%45.2%45.7%1.0% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJonizFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,546 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateLTWWTWLWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −3.2pp headshot accuracy · −106ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 652ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 624ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 677ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim4.8
Utility4.5
Positioning4.7
Opening Duels3.0
Clutch6.0

Strong CT-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

jL

Plays most like jL 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim4.8
Positioning4.7
Utility4.5
Mechanics4.8
Opening Duels3.0
Win Impact8.6

Composite 4.9/10 (Developing), 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-0.05−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.05
Reaction time668ms+7ms
first ⅓ avg 661ms → last ⅓ avg 668ms
Headshot accuracy23.4%−4.7%
first ⅓ avg 28.0% → last ⅓ avg 23.4%

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 · 13–8 · ancient, 4 Oct →
80%Best headshot accuracy · 9–2 · poseidon, 13 Feb →
375msFastest reaction time · 2–9 · inferno, 13 Feb →
13–0Biggest win · dust2, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 54% over 13poseidonWeakest map · 41% over 27
MapGradePlayedRecordWin rateAvg rating
poseidonC2711–1641%-0.05
mirageB178–947%-0.03
cacheB136–746%-0.02
ancientB137–654%0.01
dust2C94–544%-0.01
nukeC73–443%-0.06
overpass—42–250%0.00
anubis—32–167%-0.01
inferno—31–233%-0.13
vertigo—20–20%-0.10
sanctum—10–10%-0.08
train—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

69,085Lifetime kills
0.83K/D
3,855Matches
44.7%Match win rate
43.6%Headshot %
15.5%Shot accuracy · Top 50% of Level 6 players
10,223MVPs
1,639Hours (in match)
4,718Bombs planted
842Bombs defused

Most-used weapons

Lifetime map wins

2,988dust2
1,957vertigo
1,252inferno
1,033train
763cbble
713nuke
218lake
49safehouse

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

Faceit stats

Combat

355Matches
52%Win rate
0.85Avg K/D
69.2ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1856%0.9614.7
Vertigo862%0.8213.3
Dust2540%0.7713.8
Cache450%0.9112.0
Anubis475%0.8213.0
Nuke250%0.6711.5
Inferno250%0.8713.5
Overpass10%0.6210.0

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.

20.9%Headshot accuracy
27.5%Accuracy (enemy spotted)
30.7%Spray accuracy
71.7%Counter-strafing
9.0°Preaim
649msReaction time
25.6%T opening success
54.0%CT opening success
0.71Enemies flashed / flash
3.6%Flash assists
6.61HE damage / grenade
9.09Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.5579% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0616%24 May →
cache12–12-0.0018%24 May →
cache13–8-0.0713%24 May →
cache13–3-0.0134%24 May →
cache12–12-0.0225%24 May →
cache13–50.0929%24 May →
cache7–13-0.087%4 May →
cache13–8-0.0123%4 May →
cache6–13-0.0527%1 May →
mirage13–6-0.0523%1 May →
cache13–90.0531%30 Apr →
cache13–9-0.0226%30 Apr →
cache10–130.0418%30 Apr →
cache6–13-0.0829%28 Apr →
poseidon3–9-0.1917%30 Mar →
poseidon2–9-0.0836%30 Mar →
nuke8–13-0.0819%24 Mar →
poseidon3–9-0.1721%15 Mar →
poseidon9–40.0315%15 Mar →
poseidon5–9-0.1035%15 Mar →
overpass7–13-0.0422%13 Mar →
mirage11–13-0.0326%23 Feb →
nuke8–130.0037%22 Feb →
anubis13–10-0.0211%22 Feb →
ancient8–130.0425%22 Feb →
mirage16–13-0.0814%22 Feb →
poseidon7–9-0.1225%22 Feb →
poseidon3–9-0.0140%22 Feb →
mirage13–9-0.0121%21 Feb →
poseidon5–9-0.1033%21 Feb →
poseidon8–8-0.0135%21 Feb →
vertigo3–9-0.190%21 Feb →
poseidon8–8-0.0419%21 Feb →
nuke13–11-0.1013%20 Feb →
overpass13–100.0212%20 Feb →
mirage13–100.0315%20 Feb →
ancient13–9-0.0520%20 Feb →
dust23–13-0.0638%20 Feb →
poseidon9–6-0.1425%20 Feb →
poseidon9–7-0.0347%20 Feb →
ancient13–11-0.0215%16 Feb →
mirage13–100.0419%16 Feb →
inferno13–5-0.0116%16 Feb →
mirage11–13-0.078%16 Feb →
mirage1–13-0.0844%15 Feb →
nuke13–11-0.0621%15 Feb →
ancient13–9-0.0127%15 Feb →
anubis16–140.0217%15 Feb →
poseidon1–9-0.2567%15 Feb →
poseidon9–50.0510%15 Feb →
poseidon9–50.0321%15 Feb →
poseidon8–8-0.0419%15 Feb →
poseidon8–80.0535%15 Feb →
poseidon8–8-0.0120%15 Feb →
poseidon6–9-0.0431%13 Feb →
poseidon7–9-0.0742%13 Feb →
poseidon9–4-0.0540%13 Feb →
poseidon9–5-0.0110%13 Feb →
nuke8–8-0.0821%13 Feb →
poseidon9–20.0280%13 Feb →
poseidon9–6-0.0116%13 Feb →
inferno2–9-0.290%13 Feb →
poseidon9–60.0047%13 Feb →
ancient13–8-0.0516%23 Jan →
inferno3–13-0.0817%23 Jan →
mirage13–60.0524%23 Jan →
ancient13–70.0113%23 Jan →
poseidon8–8-0.0413%23 Jan →
sanctum3–9-0.0817%23 Jan →
poseidon9–30.0467%23 Jan →
anubis11–13-0.0415%22 Jan →
ancient13–70.0320%22 Jan →
dust211–13-0.0719%22 Jan →
ancient3–130.0567%21 Jan →
ancient10–13-0.0328%10 Jan →
dust25–13-0.0118%10 Jan →
vertigo8–13-0.0170%31 Dec →
ancient9–13-0.0126%30 Dec →
mirage13–6-0.0813%30 Dec →
train16–14-0.0423%30 Dec →
mirage15–15-0.0224%29 Dec →
nuke13–7-0.0217%29 Dec →
mirage13–80.0030%29 Dec →
dust213–50.0423%29 Dec →
mirage11–13-0.0620%28 Dec →
mirage4–13-0.0632%4 Oct →
ancient13–80.1123%4 Oct →
dust213–40.0128%27 Sept →
mirage7–13-0.0619%27 Sept →
dust25–13-0.0142%27 Sept →
overpass8–130.0119%17 Sept →
dust213–0-0.0050%17 Sept →
nuke5–13-0.0523%16 Sept →
mirage11–13-0.0135%16 Sept →
mirage8–130.0425%15 Sept →
dust29–13-0.0311%14 Sept →
overpass13–90.0220%14 Sept →
ancient3–13-0.0338%12 Sept →
dust216–120.0617%12 Sept →
ancient11–130.0733%12 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.