M[a]xim

M[a]xim — CS2 Stats

76561197967283009[U:1:7017281]Steam profile ↗✓ No bans

961Tracked matches41%Win rate2022Tracked since
1,358Hours in CS15Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating14,062Blue band · top ~33.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 14,062 -2,236 18 Jul – 1 Oct · 39 days played
14,01118,856peak 18,85618 Jul1 Oct
18,973Peak Premier in tracked matches
42Days played since 2026-07-18

Premier CS Rating

  • 4,794 below peak (18,856)
  • -1,551 over 30 days · declining
  • Next: Purple band at 15,000 — 938 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches69——
Win rate51%——
K/D1.12——
Headshot %42%——

Measured 5 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.7%42.7%43.8%3.1% short
Shot accuracy1.1%11.3%12.0%11.0% short
Kill/death ratio0.830.991.020.19 short
Match win rate42.5%43.9%44.7%2.2% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGM[a]ximFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,062 · Blue 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

Aim57
Positioning40
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateTLLWWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · +44ms reaction

Win rate −10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 557ms

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 (+2 against its own average).

Aim5.7
Utility3.0
Positioning4.0
Opening Duels1.0
Clutch0.0

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 44% on T to 26% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 69% 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

Aim5.7
Positioning4.0
Utility3.0
Mechanics4.3
Opening Duels1.8
Win Impact2.1

Composite 3.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time547ms−50ms
first ⅓ avg 597ms → last ⅓ avg 547ms
Headshot accuracy15.2%−0.0%
first ⅓ avg 15.3% → last ⅓ avg 15.2%

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

0.11Best match rating · 9–2 · inferno, 27 Jul →
33%Best headshot accuracy · 13–8 · anubis, 7 Aug →
406msFastest reaction time · 13–11 · inferno, 24 Aug →
13–0Biggest win · ancient, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 15anubisWeakest map · 26% over 31
MapGradePlayedRecordWin rateAvg rating
anubisD318–2326%-0.01
infernoB2513–1252%-0.00
ancientS1510–567%-0.03
nukeA117–464%-0.01
cacheD113–827%-0.04
dust2—31–233%-0.02
mirage—31–233%-0.05
overpass—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (26% over 31). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,044Lifetime kills
0.83K/D
2,983Matches
42.5%Match win rate
40.7%Headshot %
1.1%Shot accuracy
2,677MVPs
903Hours (in match)
1,374Bombs planted
497Bombs defused

Most-used weapons

Lifetime map wins

3,184nuke
2,403inferno
752vertigo
738train
581dust2
203italy
179safehouse
156bank

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

Faceit stats

Combat

11Matches
45%Win rate
0.50Avg K/D
46.6ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient633%0.426.0
Nuke2100%0.528.5
Inferno250%0.7411.5
Anubis10%0.538.0

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.

15.4%Headshot accuracy
33.1%Accuracy (enemy spotted)
30.1%Spray accuracy
69.4%Counter-strafing
9.4°Preaim
537msReaction time
44.1%T opening success
26.2%CT opening success
0.52Enemies flashed / flash
0.5%Flash assists
8.97HE damage / grenade
1.76Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.7645 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 26.1605% — below the 40% mark we flag

Spend your practice time on Anubis

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

26% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0315%1 Oct →
anubis7–13-0.0826%28 Sept →
ancient10–13-0.0517%28 Sept →
inferno13–20.0612%28 Sept →
dust213–3-0.0213%19 Sept →
anubis13–80.0216%19 Sept →
anubis8–13-0.0620%18 Sept →
anubis5–130.029%18 Sept →
inferno13–110.037%18 Sept →
nuke3–9-0.1528%17 Sept →
inferno9–60.059%17 Sept →
mirage5–13-0.050%16 Sept →
ancient13–0-0.020%16 Sept →
cache13–60.0018%16 Sept →
inferno13–50.0127%16 Sept →
cache8–13-0.0613%15 Sept →
anubis6–13-0.0720%15 Sept →
inferno5–13-0.0424%11 Sept →
anubis10–13-0.0012%4 Sept →
nuke9–60.0115%4 Sept →
anubis4–13-0.069%30 Aug →
inferno16–12-0.0219%29 Aug →
inferno5–13-0.0211%29 Aug →
anubis11–130.0229%28 Aug →
cache16–14-0.0610%28 Aug →
dust21–13-0.0421%27 Aug →
inferno0–9-0.189%27 Aug →
anubis11–13-0.0424%26 Aug →
cache13–110.0018%26 Aug →
ancient13–2-0.0117%25 Aug →
anubis5–130.008%25 Aug →
inferno10–13-0.0416%25 Aug →
nuke13–30.1012%24 Aug →
mirage2–13-0.077%24 Aug →
inferno13–110.0514%24 Aug →
anubis8–130.0523%24 Aug →
cache9–13-0.119%22 Aug →
inferno7–13-0.0821%21 Aug →
inferno9–13-0.0420%21 Aug →
anubis13–100.018%20 Aug →
anubis10–13-0.064%19 Aug →
mirage13–10-0.0416%16 Aug →
anubis11–13-0.0119%15 Aug →
inferno9–13-0.0415%14 Aug →
cache8–13-0.0221%14 Aug →
anubis8–13-0.0219%13 Aug →
ancient6–13-0.0112%13 Aug →
inferno13–100.0011%13 Aug →
anubis13–16-0.0614%12 Aug →
anubis14–16-0.0018%9 Aug →
inferno13–110.0423%9 Aug →
anubis13–8-0.0626%9 Aug →
ancient7–0-0.0119%9 Aug →
ancient13–90.0216%7 Aug →
anubis13–80.0733%7 Aug →
inferno13–9-0.0217%7 Aug →
ancient4–13-0.0727%7 Aug →
nuke13–20.0219%7 Aug →
inferno13–30.0211%7 Aug →
nuke15–150.0011%6 Aug →
inferno6–130.0114%6 Aug →
ancient13–9-0.0512%6 Aug →
anubis9–13-0.0315%5 Aug →
nuke16–140.0314%4 Aug →
inferno6–13-0.0213%4 Aug →
anubis4–13-0.039%3 Aug →
cache15–15-0.0126%3 Aug →
inferno13–11-0.0213%3 Aug →
ancient13–11-0.0614%30 Jul →
inferno13–60.0222%29 Jul →
cache9–130.0115%29 Jul →
inferno8–130.0118%27 Jul →
nuke13–8-0.0319%27 Jul →
ancient13–100.0321%27 Jul →
ancient13–8-0.0210%27 Jul →
inferno9–20.1121%27 Jul →
cache3–13-0.0517%26 Jul →
ancient13–7-0.0018%26 Jul →
nuke15–15-0.039%26 Jul →
cache15–150.0213%25 Jul →
ancient13–16-0.0410%25 Jul →
ancient5–13-0.059%25 Jul →
overpass13–110.0117%24 Jul →
anubis2–130.0121%24 Jul →
inferno4–13-0.0218%23 Jul →
ancient13–4-0.0321%23 Jul →
anubis13–80.0222%23 Jul →
nuke4–13-0.0411%23 Jul →
anubis13–11-0.0010%22 Jul →
anubis9–13-0.0719%22 Jul →
cache1–13-0.120%22 Jul →
anubis7–13-0.0215%21 Jul →
nuke13–7-0.076%21 Jul →
anubis9–130.0519%20 Jul →
dust24–13-0.0120%20 Jul →
anubis4–13-0.0619%18 Jul →
inferno11–13-0.007%18 Jul →
anubis13–11-0.048%18 Jul →
nuke13–10.1023%18 Jul →
anubis13–60.0718%18 Jul →

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 →

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