Max's little boy toy

Max's little boy toy — CS2 Stats

IL76561198298893445[U:1:338627717]Steam profile ↗✓ No bans

958Tracked matches52%Win rate2020Tracked since
1,281Hours in CS
CSDB Rating5.0 DevelopingSupport
FaceitLevel 4 · 1,045 ELOTop 81.0% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 958 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,202 +1,613 17 Mar – 27 May · 7 days played
17,58919,321peak 19,32117 Mar27 May
Faceit ELO: 1,045 +0 18 Sept – 20 Sept · 2 observations
1,0451,045peak 1,04518 Sept20 Sept
19,321Peak Premier in tracked matches
1,045Highest Faceit ELO seen on CSDB
34Days played since 2026-03-02

Faceit ELO

  • At peak — 1,045
  • Next: Level 5 at 1,051 — 6 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-18
  • Level 3 first seen 2026-09-18

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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 rate28.7%42.7%43.7%15.0% short
Shot accuracy13.8%11.3%12.0%above
Kill/death ratio1.210.991.02above
Match win rate48.2%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGMax's little boy toyFACEITLevel 4 · 1,045 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,045csdb.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

Aim65
Positioning50
Utility68

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLWTLTWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −2.8pp headshot accuracy · −16ms reaction

Win rate down 20pp 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 587ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 595ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim6.5
Utility6.8
Positioning5.0
Opening Duels2.9
Clutch1.8

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 584ms 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

Aim6.5
Positioning5.0
Utility6.8
Mechanics5.5
Opening Duels1.8
Win Impact5.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time585ms+36ms
first ⅓ avg 548ms → last ⅓ avg 585ms
Headshot accuracy16.4%+1.8%
first ⅓ avg 14.6% → last ⅓ avg 16.4%

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

0.20Best match rating · 1–2 · dust2, 23 Apr →
45%Best headshot accuracy · 7–13 · office, 26 Apr →
375msFastest reaction time · 0–13 · office, 26 Apr →
13–1Biggest win · office, 18 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 32% over 31
MapGradePlayedRecordWin rateAvg rating
dust2D3110–2132%0.02
vertigoC177–1041%0.03
officeB168–850%0.03
infernoA116–555%0.01
mirageA116–555%0.02
italyC52–340%0.02
cacheS54–180%0.03
nuke—20–20%-0.04
ancient—22–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,431Lifetime kills
1.21K/D · Top 25% of Level 4 players
3,257Matches
48.2%Match win rate · Top 25% of Level 4 players
28.7%Headshot %
13.8%Shot accuracy · Top 50% of Level 4 players
9,064MVPs
1,281Hours (in match)
2,925Bombs planted
897Bombs defused

Most-used weapons

Lifetime map wins

14,895dust2
3,302inferno
929office
880vertigo
561nuke
239train
221italy
195lake

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

Faceit stats

Combat

19Matches
47%Win rate
1.01Avg K/D
87.0ADR
44%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%1.1817.8
Dust2667%0.9814.7
Inferno20%0.9720.0
Nuke10%0.9131.0
Overpass1100%0.8315.0
Train10%0.8815.0

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.

16.6%Headshot accuracy
33.2%Accuracy (enemy spotted)
44.5%Spray accuracy
74.8%Counter-strafing
10.7°Preaim
584msReaction time
35.8%T opening success
38.7%CT opening success
0.69Enemies flashed / flash
10.1%Flash assists
14.14HE damage / grenade
10.81Flashes / 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

    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 35.8103% — 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.

32% win rate across 31 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
dust25–13-0.1120%17 Sept →
inferno13–40.039%8 Aug →
mirage12–12-0.0219%8 Aug →
dust21–13-0.089%17 Jul →
dust212–12-0.0016%25 Jun →
office13–20.0411%25 Jun →
dust27–130.1018%20 Jun →
dust25–13-0.039%20 Jun →
office3–13-0.0613%5 Jun →
italy6–130.1415%5 Jun →
italy13–70.0214%5 Jun →
nuke4–13-0.1024%27 May →
vertigo1–130.0710%26 May →
office11–130.0114%25 May →
cache13–80.0225%23 May →
dust213–50.0520%23 May →
office8–130.025%23 May →
italy8–13-0.0220%23 May →
mirage13–11-0.0217%18 May →
nuke8–130.0117%18 May →
cache13–50.0828%18 May →
vertigo12–120.0715%18 May →
office13–10.078%18 May →
mirage13–10.0733%18 May →
inferno13–10-0.0133%18 May →
mirage8–130.0513%18 May →
ancient13–11-0.0413%15 May →
mirage13–10-0.0427%15 May →
italy13–100.038%10 May →
office6–40.055%10 May →
vertigo8–130.0412%7 May →
inferno8–130.1618%2 May →
dust27–130.0624%2 May →
dust211–130.0513%2 May →
cache13–60.0412%2 May →
cache13–90.0514%2 May →
dust213–9-0.0428%30 Apr →
cache10–13-0.0226%28 Apr →
inferno12–20.0227%27 Apr →
office13–20.0720%27 Apr →
office9–13-0.0111%27 Apr →
office12–120.0819%27 Apr →
italy6–13-0.0610%27 Apr →
office13–70.1018%27 Apr →
vertigo13–8-0.029%26 Apr →
dust28–130.0413%26 Apr →
mirage13–70.0616%26 Apr →
office0–13-0.100%26 Apr →
dust23–13-0.0514%26 Apr →
office7–13-0.0445%26 Apr →
vertigo13–70.0422%26 Apr →
office13–40.1415%26 Apr →
inferno4–13-0.0012%24 Apr →
dust23–13-0.0728%24 Apr →
vertigo11–130.0324%24 Apr →
dust25–130.1014%24 Apr →
dust212–120.0814%24 Apr →
dust213–90.009%23 Apr →
dust21–20.2033%23 Apr →
dust23–13-0.047%23 Apr →
inferno9–130.0618%23 Apr →
dust23–130.0415%23 Apr →
dust29–20.0615%23 Apr →
vertigo12–12-0.0225%19 Apr →
vertigo13–30.1230%19 Apr →
vertigo6–130.043%19 Apr →
ancient13–9-0.0212%19 Apr →
vertigo10–130.0318%19 Apr →
vertigo9–13-0.0220%15 Apr →
office5–130.0120%15 Apr →
office13–11-0.0017%15 Apr →
vertigo13–80.017%15 Apr →
vertigo13–110.0515%15 Apr →
vertigo8–130.0724%15 Apr →
vertigo13–100.0714%15 Apr →
inferno6–13-0.098%14 Apr →
inferno13–3-0.0323%12 Apr →
dust27–130.0827%11 Apr →
office13–90.0714%11 Apr →
mirage11–130.0415%11 Apr →
dust213–4-0.0310%11 Apr →
dust212–120.027%11 Apr →
vertigo13–50.0410%11 Apr →
vertigo9–13-0.0516%11 Apr →
dust213–60.0611%4 Apr →
dust20–13-0.067%2 Apr →
mirage6–130.0315%2 Apr →
mirage9–13-0.028%20 Mar →
inferno13–11-0.0416%20 Mar →
mirage13–8-0.0215%20 Mar →
inferno16–14-0.065%17 Mar →
dust213–8-0.0321%17 Mar →
dust213–40.0312%16 Mar →
mirage13–50.0715%16 Mar →
dust210–130.0316%16 Mar →
inferno7–110.0316%12 Mar →
dust210–130.0715%12 Mar →
dust212–12-0.0318%6 Mar →
dust213–60.0612%2 Mar →
dust213–10.0319%2 Mar →

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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