Joni

Joni — CS2 Stats

FI76561199768209613[U:1:1807943885]Steam profile ↗✓ No bans

231Tracked matches45%Win rate2025Tracked since
247Hours in CS1Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim37
Positioning43
Utility24

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWLLLWLLL

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −0.0pp headshot accuracy · +29ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 734ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 692ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 678ms

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).

Aim3.7
Utility2.4
Positioning4.3
Opening Duels0.7

Strong T-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

iM

Plays most like iM 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 41% on T to 20% on CT — first contacts on the defending side are being lost.

Reaction time. 688ms 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

Aim3.7
Positioning4.3
Utility2.4
Mechanics6.0
Opening Duels1.4
Win Impact3.3

Composite 3.7/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time701ms−12ms
first ⅓ avg 713ms → last ⅓ avg 701ms
Headshot accuracy13.4%+4.0%
first ⅓ avg 9.4% → last ⅓ avg 13.4%

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

0.16Best match rating · 9–5 · inferno, 27 Jul →
50%Best headshot accuracy · 1–13 · dust2, 21 May →
375msFastest reaction time · 3–12 · mirage, 29 Oct →
13–1Biggest win · mirage, 9 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
3–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 80% over 10dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%-0.02
dust2D217–1433%-0.04
nukeB157–847%-0.02
cacheB137–654%-0.01
ancientB115–645%-0.03
infernoS108–280%-0.02
anubisS64–267%-0.02
overpass—21–150%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,445Lifetime kills
0.63K/D
358Matches
44.4%Match win rate
34.3%Headshot %
0.0%Shot accuracy
668MVPs
138Hours (in match)
395Bombs planted
256Bombs defused

Most-used weapons

Lifetime map wins

814dust2
435inferno
346nuke
92train
28office
24vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.1%Spray accuracy
76.9%Counter-strafing
11.3°Preaim
688msReaction time
41.4%T opening success
20.1%CT opening success
0.43Enemies flashed / flash
5.2%Flash assists
5.22HE damage / grenade
2.36Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8461% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4288 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 20.0845% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke1–12-0.0920%3 Nov →
mirage3–12-0.0723%29 Oct →
anubis13–6-0.0210%2 Oct →
inferno5–13-0.0627%29 Sept →
ancient10–10-0.0414%9 Sept →
mirage6–6-0.1220%9 Sept →
mirage13–1-0.029%9 Sept →
nuke11–130.006%8 Sept →
cache3–13-0.1510%8 Sept →
dust25–13-0.0610%6 Sept →
ancient8–4-0.0713%6 Sept →
inferno9–50.1644%27 Jul →
anubis13–100.0119%27 Jul →
cache9–130.0211%16 Jul →
mirage8–13-0.025%12 Jul →
ancient13–5-0.077%12 Jul →
nuke13–4-0.048%12 Jul →
inferno13–8-0.0413%10 Jul →
ancient13–70.0114%10 Jul →
cache2–70.0117%10 Jul →
inferno13–5-0.0714%10 Jul →
nuke5–13-0.057%9 Jul →
mirage13–110.019%9 Jul →
inferno13–20.037%9 Jul →
cache10–13-0.028%28 Jun →
ancient6–13-0.023%20 Jun →
inferno13–4-0.046%20 Jun →
anubis10–10-0.009%18 Jun →
mirage13–5-0.0721%18 Jun →
mirage3–13-0.100%12 Jun →
inferno9–5-0.1314%9 Jun →
nuke9–40.1314%9 Jun →
inferno2–9-0.0629%9 Jun →
mirage12–120.0720%9 Jun →
ancient13–4-0.0219%8 Jun →
dust212–12-0.057%4 Jun →
dust26–130.0114%3 Jun →
overpass6–9-0.0817%27 May →
dust20–5-0.130%26 May →
dust213–8-0.015%26 May →
nuke4–13-0.0425%26 May →
dust21–13-0.0950%21 May →
ancient9–120.0210%20 May →
mirage9–13-0.038%20 May →
dust213–2-0.027%20 May →
dust210–13-0.0612%19 May →
cache5–13-0.085%13 May →
cache13–110.0213%13 May →
dust26–13-0.060%12 May →
cache13–80.0312%12 May →
ancient13–80.0015%12 May →
anubis13–7-0.045%11 May →
cache13–80.027%11 May →
cache13–11-0.0618%10 May →
mirage13–6-0.0310%10 May →
cache13–90.1015%10 May →
inferno13–70.0414%9 May →
anubis7–130.019%7 May →
dust21–13-0.040%7 May →
dust210–13-0.0721%6 May →
mirage13–8-0.0112%6 May →
nuke13–9-0.007%6 May →
mirage11–00.014%6 May →
inferno9–3-0.009%6 May →
nuke5–13-0.0519%1 May →
cache13–4-0.0711%1 May →
cache6–130.017%1 May →
mirage10–130.117%29 Apr →
dust26–13-0.097%29 Apr →
nuke1–40.030%29 Apr →
cache13–6-0.019%29 Apr →
ancient4–6-0.110%28 Apr →
dust213–9-0.0511%28 Apr →
mirage9–130.016%28 Apr →
nuke13–50.0110%25 Apr →
dust213–8-0.036%24 Apr →
mirage13–6-0.0323%24 Apr →
anubis13–3-0.0710%23 Apr →
mirage13–6-0.0613%23 Apr →
ancient0–9-0.0125%22 Apr →
dust26–13-0.0111%22 Apr →
nuke13–9-0.0113%22 Apr →
mirage9–13-0.067%22 Apr →
nuke13–30.027%22 Apr →
nuke2–13-0.070%21 Apr →
mirage5–130.036%21 Apr →
mirage10–13-0.033%21 Apr →
dust29–13-0.0211%21 Apr →
dust28–13-0.029%20 Apr →
dust25–13-0.010%20 Apr →
nuke13–10-0.074%18 Apr →
dust213–2-0.0118%18 Apr →
nuke5–13-0.037%16 Apr →
mirage8–13-0.0521%16 Apr →
mirage13–60.1119%16 Apr →
mirage12–12-0.036%16 Apr →
dust213–7-0.017%16 Apr →
dust213–6-0.058%15 Apr →
overpass13–8-0.017%15 Apr →
ancient6–13-0.0218%15 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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