Jani

Jani — CS2 Stats

76561199532922910[U:1:1572657182]Steam profile ↗✓ No bans

125Tracked matches62%Win rate2026Tracked since
423Hours in CS24Hrs last 2 wks
CSDB Rating2.3 LearningPositional Player
WingmanSilver I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim8
Positioning34
Utility2

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateLLWLWLWLWL

Last 10 vs previous 10: −30pp win rate · −0.07 avg rating · −7.5pp headshot accuracy · −62ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 26%
  • Avg reaction 827ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 27%
  • Avg reaction 816ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 31%
  • Avg reaction 846ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim0.8
Utility0.2
Positioning3.4
Opening Duels0.0

Limited 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 66% 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

Reaction time. 851ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.8
Positioning3.4
Utility0.2
Mechanics3.3
Opening Duels0.1
Win Impact8.8

Composite 2.3/10 (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-0.06+0.01
first ⅓ avg -0.07 → last ⅓ avg -0.06
Reaction time839ms−88ms
first ⅓ avg 927ms → last ⅓ avg 839ms
Headshot accuracy29.2%+3.4%
first ⅓ avg 25.8% → last ⅓ avg 29.2%

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

0.21Best match rating · 7–0 · inferno, 24 Aug
67%Best headshot accuracy · 1–9 · nuke, 12 Sept
516msFastest reaction time · 7–13 · office, 16 Sept
13–0Biggest win · dust2, 10 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
75In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 63% over 16infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB32161650%-0.04
dust2A1610663%-0.05
nukeC1661038%-0.07
cacheC156940%-0.06
infernoD1441029%-0.04
office32167%-0.08
poseidon1010%-0.10
ancient1010%-0.11
fachwerk1010%-0.05
train1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,648Lifetime kills
0.59K/D
858Matches
36.0%Match win rate
59.2%Headshot % · Top 5% of tracked players
1.8%Shot accuracy
929MVPs
227Hours (in match)
210Bombs planted
60Bombs defused

Most-used weapons

Lifetime map wins

486dust2
465nuke
272inferno
33office
20italy
17train
14vertigo

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.

25.8%Headshot accuracy
17.9%Accuracy (enemy spotted)
17.5%Spray accuracy
65.1%Counter-strafing
11.8°Preaim
851msReaction time
26.6%T opening success
30.6%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
2.03HE damage / grenade
0.06Flashes / 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

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 17.5378% — below the 20% mark we flag

    Practice Config
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 851.0827ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.0421 — below the 0.5 mark we flag

    Grenade Lineups
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0530%17 Sept
office7–13-0.1222%16 Sept
office13–9-0.0516%16 Sept
mirage8–13-0.0836%16 Sept
mirage13–9-0.1228%16 Sept
nuke1–9-0.2033%16 Sept
inferno9–10.0010%16 Sept
inferno1–9-0.1636%16 Sept
office13–5-0.0625%14 Sept
inferno2–13-0.1033%14 Sept
dust213–11-0.1321%14 Sept
dust213–11-0.1113%14 Sept
inferno9–30.0653%14 Sept
dust213–6-0.0730%14 Sept
mirage13–7-0.0420%14 Sept
dust213–10-0.0032%12 Sept
nuke1–9-0.1067%12 Sept
mirage5–13-0.0638%12 Sept
nuke6–90.1639%11 Sept
mirage13–20.0332%11 Sept
dust212–12-0.1127%11 Sept
dust25–13-0.0641%10 Sept
mirage13–2-0.0712%10 Sept
dust213–8-0.0227%10 Sept
dust213–0-0.0310%10 Sept
mirage12–12-0.0632%9 Sept
mirage12–12-0.0027%9 Sept
mirage13–7-0.0130%9 Sept
dust27–13-0.0820%8 Sept
mirage13–9-0.0929%8 Sept
inferno7–9-0.0638%7 Sept
mirage6–13-0.0822%6 Sept
inferno2–9-0.2438%6 Sept
nuke9–70.1140%2 Sept
nuke9–70.0329%1 Sept
cache6–130.0417%31 Aug
dust211–13-0.0535%31 Aug
nuke5–9-0.0924%30 Aug
cache12–12-0.0820%29 Aug
mirage13–60.0030%29 Aug
nuke16–13-0.0719%29 Aug
mirage13–3-0.0030%28 Aug
mirage13–5-0.0927%28 Aug
cache13–10-0.0424%28 Aug
inferno9–20.1257%28 Aug
mirage4–13-0.0835%27 Aug
cache7–13-0.0229%26 Aug
mirage8–130.0137%26 Aug
inferno7–00.2133%24 Aug
mirage13–11-0.0628%23 Aug
dust213–5-0.0216%23 Aug
cache2–13-0.1218%22 Aug
nuke13–6-0.1020%22 Aug
dust213–9-0.0127%22 Aug
inferno2–9-0.1642%22 Aug
nuke2–9-0.1721%22 Aug
dust28–1-0.0725%21 Aug
dust213–60.0528%21 Aug
mirage13–30.0617%21 Aug
dust210–13-0.0531%21 Aug
inferno5–9-0.1040%21 Aug
nuke9–30.0616%21 Aug
cache13–7-0.0532%20 Aug
cache7–13-0.0827%20 Aug
inferno8–80.0645%20 Aug
mirage13–4-0.037%20 Aug
inferno8–8-0.0220%19 Aug
poseidon8–8-0.1021%19 Aug
nuke4–9-0.1322%19 Aug
cache2–13-0.210%19 Aug
nuke7–9-0.0634%19 Aug
mirage7–13-0.0820%19 Aug
cache3–13-0.0326%19 Aug
mirage10–13-0.0227%17 Aug
cache11–13-0.0932%12 Aug
cache13–110.0033%10 Aug
nuke3–13-0.1036%7 Aug
ancient3–13-0.1145%7 Aug
cache9–2-0.0133%27 Jul
mirage7–13-0.1030%27 Jul
nuke1–9-0.3031%15 Jul
cache13–9-0.0131%11 Jul
fachwerk7–13-0.0556%9 Jul
mirage8–13-0.0642%7 Jul
mirage6–13-0.0137%7 Jul
mirage13–6-0.0232%6 Jul
mirage13–11-0.0428%6 Jul
cache13–3-0.0530%27 Jun
mirage13–10-0.0925%23 Jun
train6–13-0.0722%11 Jun
mirage1–13-0.0710%11 Jun
mirage12–12-0.0330%11 Jun
mirage6–6-0.0017%7 Jun
mirage5–13-0.0914%6 Jun
inferno2–13-0.1225%6 Jun
nuke9–6-0.0711%5 Jun
inferno6–13-0.1117%3 Jun
mirage13–70.0320%3 Jun
cache4–13-0.136%3 Jun
nuke4–13-0.137%2 Jun

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 →