ZMJ — CS2 Stats

76561198056715911[U:1:96450183]

394Tracked matches48%Win rate2020Tracked since
2,487Hours in CS3Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating12,680Blue band · top ~40.7% of ranked players (population est.)
CSDB Leaderboard#34161 of 51016 tracked
FaceitLevel 3 · 892 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.9%42.2%42.7%2.7% short
Shot accuracy13.9%11.9%10.8%above
Kill/death ratio0.790.981.000.21 short
Match win rate40.8%43.6%44.1%3.3% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZMJFACEITLevel 3 · 892 ELOSTANDINGTop 90.6% of rankedPREMIER12,680 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning33
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWWLWWLLWLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.0
Aggression3.6
Utility4.5
Positioning3.3
Opening Duels0.0
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 655ms 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

Aim5.0
Positioning3.3
Utility4.5
Mechanics3.4
Opening Duels0.7
Win Impact4.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time628ms−67ms
first ⅓ avg 696ms → last ⅓ avg 628ms
Headshot accuracy19.3%−1.1%
first ⅓ avg 20.4% → last ⅓ avg 19.3%

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.

Highlights

0.14Best rating — mirage 8–13
130Biggest win — ancient
7Longest win streak
W2Current streak
107In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 78% over 9dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%-0.03
nukeD1551033%-0.04
mirageS139469%-0.02
ancientC135838%-0.03
overpassS97278%-0.07
dust2D71614%-0.07
anubisS64267%-0.03
trainB63350%-0.01
cacheC52340%-0.06
office31233%-0.04
vertigo1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,661Lifetime kills
0.79K/D
3,742Matches
40.8%Match win rate
39.9%Headshot %
13.9%Shot accuracy · Top 50% of Level 3 players
4,850MVPs
1,463Hours (in match)
4,494Bombs planted
578Bombs defused

Most-used weapons

AK-4711,392
AWP5,531
P903,926
FAMAS1,530
P2501,316

Lifetime map wins

5,753inferno
3,241nuke
2,805dust2
1,814train
1,342cbble
868vertigo
180office
96italy

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

Faceit stats

Combat

239Matches
52%Win rate
0.64Avg K/D
53.0ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis4551%0.6610.5
Inferno4159%0.639.8
Ancient3842%0.649.7
Nuke2861%0.679.5
Vertigo2040%0.549.2
Overpass1283%0.599.7
Mirage1136%0.5611.2
Dust2729%0.407.3

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.

19.8%Headshot accuracy
30.4%Accuracy (enemy spotted)
41.0%Spray accuracy
65.5%Counter-strafing
10.1°Preaim
655msReaction time
23.2%T opening success
35.6%CT opening success
0.38Enemies flashed / flash
3.9%Flash assists
7.40HE damage / grenade
8.17Flashes / 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 0.3832 — below the 0.5 mark we flag

    Grenade Lineups
  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 23.2264% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.048%27 Aug
mirage13–110.0913%25 Aug
mirage1–13-0.1540%30 Jul
mirage13–10-0.0314%27 Jul
inferno16–140.0632%26 Jul
nuke14–160.0621%26 Jul
mirage8–130.1420%22 Jul
mirage16–14-0.0412%20 Jul
inferno0–2-0.010%20 Jul
inferno14–16-0.0212%17 Jul
mirage13–4-0.0714%17 Jul
nuke3–130.0531%17 Jul
inferno14–160.0427%15 Jul
inferno13–40.0420%15 Jul
office2–130.0017%14 Jul
office13–3-0.0213%14 Jul
ancient13–60.0636%13 Jul
mirage13–30.0614%12 Jul
dust29–13-0.0217%12 Jul
mirage5–3-0.060%12 Jul
nuke6–130.0024%12 Jul
inferno3–13-0.1044%9 Jul
anubis13–9-0.0819%6 Jul
dust213–1-0.0436%2 Jul
cache13–11-0.0819%17 Jun
ancient5–13-0.0514%17 Jun
ancient12–12-0.0220%5 Jun
ancient0–13-0.010%2 Jun
inferno13–16-0.0515%20 May
dust210–13-0.0615%19 May
ancient16–14-0.0318%18 May
cache3–13-0.0930%13 May
nuke11–13-0.0425%12 May
overpass13–7-0.046%7 May
nuke13–7-0.0325%7 May
cache13–50.0213%7 May
anubis13–8-0.0438%6 May
cache8–13-0.0517%3 May
anubis10–13-0.0914%2 May
cache10–13-0.097%29 Apr
inferno13–10-0.0419%28 Apr
inferno13–5-0.029%28 Apr
nuke16–14-0.0723%19 Apr
inferno13–10-0.0218%19 Apr
ancient16–12-0.0313%12 Apr
dust211–13-0.0921%30 Mar
ancient10–13-0.0416%27 Mar
inferno7–9-0.0818%24 Mar
overpass13–7-0.077%22 Mar
dust24–13-0.0630%22 Mar
mirage3–13-0.0617%19 Mar
office9–13-0.0924%19 Mar
overpass7–13-0.1124%17 Mar
overpass10–13-0.0828%10 Mar
dust24–13-0.1145%10 Mar
inferno7–13-0.0735%1 Mar
ancient13–00.0211%8 Jan
anubis8–13-0.0022%23 Dec
ancient7–13-0.087%20 Nov
nuke13–7-0.0622%16 Nov
train13–8-0.0116%5 Nov
train2–13-0.0330%5 Nov
mirage13–5-0.0417%29 Oct
ancient4–13-0.0617%23 Oct
inferno9–13-0.0429%18 Oct
anubis13–110.0311%18 Oct
inferno4–13-0.0815%8 Oct
dust212–12-0.0922%7 Oct
inferno13–90.0217%6 Oct
mirage13–30.0311%2 Oct
inferno7–1-0.1050%1 Oct
overpass13–10-0.0318%28 Sept
overpass2–1-0.050%28 Sept
nuke13–7-0.0212%17 Sept
ancient13–1-0.0633%11 Sept
nuke5–13-0.0931%11 Sept
inferno13–11-0.0321%6 Sept
inferno12–12-0.0414%30 Aug
nuke9–13-0.1219%30 Aug
nuke6–13-0.070%28 Aug
inferno3–13-0.0625%27 Aug
mirage9–13-0.0816%17 Aug
ancient9–13-0.0129%14 Aug
ancient8–13-0.0616%4 Aug
train13–8-0.0210%1 Aug
nuke7–13-0.0435%29 Jul
anubis13–7-0.0320%29 Jul
nuke6–13-0.1031%17 Jul
overpass13–6-0.0710%16 Jul
train13–30.0110%10 Jul
inferno8–13-0.0821%10 Jul
nuke7–13-0.0539%10 Jul
train10–130.0020%8 Jul
train10–13-0.0438%1 Jul
overpass13–8-0.0324%1 Jul
inferno7–13-0.066%4 Mar
vertigo4–13-0.0543%4 Mar
overpass9–6-0.1320%17 Feb
nuke13–6-0.063%22 Dec
inferno13–70.0111%22 Dec

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 →