meester jone

meester jone — CS2 Stats

US76561198142924540[U:1:182658812]Steam profile ↗✓ No bans

630Tracked matches40%Win rate2023Tracked since
CSDB Rating3.6 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 10 Oct 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,413 -2,212 10 Oct7 Jan · 5 days played
7,4139,995peak 9,99510 Oct7 Jan
9,999Peak Premier in tracked matches
39Days played since 2024-10-10

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.

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CSDB.GGmeester joneFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning33
Utility27

0–100 skill scores via Leetify.

Recent form

COLD404614Last 10040%Win rateLWLLTWLLWT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · +6ms reaction

Win rate 0pp 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

  • 131 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 630ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 624ms

Last 20

  • 6104 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 620ms

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 (+1.8 against its own average).

Aim4.6
Utility2.7
Positioning3.3
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 613ms 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

Aim4.6
Positioning3.3
Utility2.7
Mechanics6.4
Opening Duels0.0
Win Impact1.7

Composite 3.6/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time615ms−32ms
first ⅓ avg 647ms → last ⅓ avg 615ms
Headshot accuracy10.9%+2.3%
first ⅓ avg 8.6% → last ⅓ avg 10.9%

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 · 13–3 · vertigo, 25 May
29%Best headshot accuracy · 13–5 · train, 21 Nov
430msFastest reaction time · 5–13 · inferno, 26 Nov
13–2Biggest win · dust2, 10 Dec

Across the last 100 tracked matches.

Highlights

4Longest win streak
75In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2381535%-0.03
vertigoD2271532%-0.01
mirageD1551033%-0.02
infernoD134931%-0.02
overpassS86275%-0.02
nukeC52340%-0.01
train43175%0.00
office43175%-0.00
anubis42250%0.00
basalt1010%0.04
ancient1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
27%Win rate
0.78Avg K/D
61.4ADR
30%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo425%0.8817.0
Mirage333%0.6611.3
Inferno20%0.304.0
Dust2250%1.2611.0

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.

10.4%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.2%Spray accuracy
79.0%Counter-strafing
10.9°Preaim
613msReaction time
23.7%T opening success
29.2%CT opening success
0.56Enemies flashed / flash
2.0%Flash assists
5.74HE damage / grenade
6.44Flashes / 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 10.3971% — below the 15% mark we flag

    Aim Training
  2. 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 23.7335% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0811%31 Aug
dust213–110.0111%31 Aug
mirage5–130.0110%30 Aug
mirage11–130.0411%30 Aug
vertigo12–12-0.035%30 Aug
mirage13–10-0.039%30 Aug
dust210–13-0.0510%29 Aug
nuke9–13-0.079%29 Aug
mirage13–9-0.0414%29 Jun
inferno12–12-0.073%4 May
mirage12–12-0.0211%3 May
mirage13–5-0.060%10 Dec
train13–40.0310%27 May
dust212–12-0.065%27 May
overpass6–13-0.026%25 May
mirage6–130.0310%25 May
vertigo13–30.1614%25 May
vertigo8–13-0.0314%30 Apr
dust25–13-0.063%30 Apr
vertigo7–13-0.0510%17 Apr
vertigo6–13-0.0919%4 Apr
office13–10-0.062%2 Apr
dust213–6-0.0421%31 Jan
inferno12–120.0410%13 Jan
dust25–13-0.0621%7 Jan
vertigo13–11-0.013%7 Jan
dust27–13-0.0623%11 Dec
dust23–13-0.0723%10 Dec
anubis6–13-0.0411%10 Dec
office13–50.0515%10 Dec
vertigo9–13-0.0515%10 Dec
dust213–20.019%10 Dec
vertigo12–12-0.0214%9 Dec
vertigo17–19-0.074%9 Dec
inferno4–13-0.083%9 Dec
inferno9–13-0.0512%8 Dec
train13–9-0.057%1 Dec
inferno1–13-0.1017%1 Dec
vertigo13–90.0119%1 Dec
dust27–13-0.018%1 Dec
dust212–12-0.0516%27 Nov
nuke13–80.0513%26 Nov
inferno5–13-0.030%26 Nov
mirage5–00.019%26 Nov
dust213–4-0.0318%23 Nov
dust24–13-0.0915%22 Nov
overpass13–9-0.0612%22 Nov
inferno3–13-0.0612%22 Nov
vertigo13–100.013%21 Nov
dust213–70.0914%21 Nov
train13–5-0.0129%21 Nov
train10–130.048%14 Nov
basalt10–130.0410%14 Nov
office13–100.0526%12 Nov
dust210–13-0.0311%12 Nov
mirage13–5-0.0213%12 Nov
vertigo14–16-0.038%12 Nov
inferno13–80.057%26 Oct
mirage1–13-0.124%26 Oct
dust29–13-0.045%26 Oct
inferno13–110.066%26 Oct
mirage9–130.0212%26 Oct
overpass13–20.0012%26 Oct
office12–12-0.0515%25 Oct
dust213–110.0111%25 Oct
vertigo13–60.114%25 Oct
vertigo13–40.143%25 Oct
mirage7–13-0.0918%24 Oct
vertigo7–130.025%24 Oct
dust213–110.0710%24 Oct
overpass12–12-0.016%24 Oct
inferno12–120.0210%21 Oct
vertigo7–13-0.073%20 Oct
inferno6–13-0.030%20 Oct
vertigo7–13-0.0810%17 Oct
vertigo1–13-0.0310%17 Oct
vertigo12–120.0017%16 Oct
nuke13–70.035%16 Oct
anubis3–13-0.077%16 Oct
overpass13–90.064%16 Oct
anubis13–80.0013%15 Oct
overpass6–7-0.0712%15 Oct
dust29–13-0.0016%15 Oct
nuke11–13-0.110%15 Oct
dust212–12-0.022%14 Oct
inferno13–60.049%14 Oct
mirage11–130.035%14 Oct
mirage10–13-0.0411%14 Oct
anubis9–40.1114%14 Oct
nuke12–120.049%14 Oct
dust26–13-0.107%11 Oct
overpass13–2-0.049%11 Oct
inferno13–11-0.044%11 Oct
vertigo13–80.0312%11 Oct
overpass13–30.028%11 Oct
ancient9–13-0.073%11 Oct
mirage6–130.0511%11 Oct
vertigo12–12-0.0510%11 Oct
dust213–9-0.0712%10 Oct
vertigo12–16-0.0712%10 Oct

Match data via Leetify.

Recent teammates

Milestones

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