Max Onetapen — CS2 Stats

76561198010288325[U:1:50022597]

1,918Tracked matches52%Win rate2022Tracked since
1,424Hours in CS
CSDB Rating3.9 Learning
Premier CS Rating12,036Blue band · top ~44.1% of ranked players (population est.)
CSDB Leaderboard#36627 of 53601 tracked
Ladder ranks via Leetify

Rating over time

11,679Peak Premier on CSDB
1Days observed since 2026-08-29

Premier CS Rating

  • At peak — 12,036
  • Next: Purple band at 15,000 2,964 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.5%41.4%44.2%1.7% short
Shot accuracy7.6%9.0%11.6%3.9% short
Kill/death ratio0.780.971.030.25 short
Match win rate41.0%43.7%45.2%4.3% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGMax OnetapenPREMIER12,036 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning43
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateWLWWLTWLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.1
Aggression3.5
Utility3.7
Positioning4.3
Opening Duels1.3

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 73% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim4.1
Positioning4.3
Utility3.7
Mechanics4.7
Opening Duels1.7
Win Impact5.6

Composite 3.9/10 (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 -0.04 → last ⅓ avg -0.02
Reaction time645ms−4ms
first ⅓ avg 648ms → last ⅓ avg 645ms
Headshot accuracy16.1%+1.9%
first ⅓ avg 14.2% → last ⅓ avg 16.1%

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

0.09Best rating — cache 13–3
132Biggest win — anubis
7Longest win streak
66In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
dust2D1961332%-0.04
mirageC1881044%-0.03
infernoC1661038%-0.04
cacheB158753%-0.03
ancientS118373%-0.00
anubisA106460%-0.02
vertigo41325%-0.04
nuke3030%-0.07
train31233%-0.02
overpass110100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,269Lifetime kills
0.78K/D
3,765Matches
41.0%Match win rate
42.5%Headshot % · Top 50% of Blue band
7.6%Shot accuracy
5,447MVPs
1,424Hours (in match)
3,117Bombs planted
761Bombs defused

Most-used weapons

AK-4716,000
P902,268
FAMAS2,035
AWP1,926
MP91,457
P2501,403

Lifetime map wins

4,698dust2
3,962inferno
3,408nuke
2,828vertigo
1,337train
170cbble
146office
54dust

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.

16.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
30.3%Spray accuracy
71.3%Counter-strafing
11.3°Preaim
645msReaction time
26.7%T opening success
43.4%CT opening success
0.44Enemies flashed / flash
2.2%Flash assists
7.86HE damage / grenade
6.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.439 — 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 26.7318% — 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 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–40.0615%30 Aug
inferno9–13-0.0813%29 Aug
cache13–11-0.0816%29 Aug
dust213–50.0215%29 Aug
nuke3–13-0.069%29 Aug
anubis15–15-0.0219%29 Aug
inferno13–7-0.0511%29 Aug
mirage9–13-0.0820%28 Aug
anubis13–5-0.0223%28 Aug
inferno8–13-0.0016%27 Aug
inferno7–13-0.0311%27 Aug
mirage13–60.0429%22 Aug
dust215–15-0.0120%22 Aug
dust213–10-0.0314%22 Aug
inferno9–13-0.0323%22 Aug
dust213–80.0127%22 Aug
mirage13–10-0.0316%16 Aug
mirage13–9-0.0221%16 Aug
mirage8–13-0.048%16 Aug
mirage13–7-0.0112%16 Aug
anubis13–50.0024%15 Aug
dust213–5-0.0412%15 Aug
dust28–130.0320%15 Aug
dust23–13-0.0414%15 Aug
dust213–100.0716%15 Aug
nuke6–13-0.057%15 Aug
train12–12-0.0012%15 Aug
train11–13-0.0114%14 Aug
anubis4–13-0.0217%13 Aug
cache5–13-0.0814%12 Aug
cache5–13-0.0115%12 Aug
ancient8–11-0.0127%12 Aug
mirage2–13-0.145%11 Aug
mirage3–13-0.0511%11 Aug
mirage7–130.0118%11 Aug
mirage11–13-0.0411%9 Aug
dust28–13-0.0310%9 Aug
inferno13–8-0.0220%9 Aug
mirage3–8-0.104%8 Aug
dust211–13-0.059%7 Aug
dust215–15-0.099%5 Aug
vertigo10–13-0.0511%3 Aug
cache12–120.0120%3 Aug
inferno8–13-0.0314%2 Aug
inferno1–13-0.100%2 Aug
inferno9–13-0.0511%2 Aug
overpass13–100.0320%2 Aug
inferno16–13-0.0210%2 Aug
ancient9–13-0.0210%2 Aug
anubis13–16-0.058%1 Aug
ancient13–10-0.0312%1 Aug
anubis8–130.0427%1 Aug
inferno13–10-0.0315%1 Aug
vertigo13–5-0.069%1 Aug
mirage13–7-0.0223%1 Aug
cache13–30.0924%1 Aug
ancient13–11-0.0216%1 Aug
dust216–12-0.0137%31 Jul
anubis13–70.0324%30 Jul
vertigo10–13-0.0711%30 Jul
cache5–13-0.0715%29 Jul
vertigo8–130.0013%29 Jul
cache9–13-0.0612%28 Jul
mirage2–13-0.0421%28 Jul
anubis13–8-0.0422%28 Jul
dust27–13-0.0923%27 Jul
ancient13–50.0215%15 Jul
cache13–80.0023%15 Jul
dust211–13-0.0814%15 Jul
mirage6–13-0.0213%14 Jul
dust213–16-0.0513%14 Jul
cache13–110.0018%9 Jul
cache11–13-0.0715%9 Jul
dust210–13-0.0811%1 Jul
cache13–5-0.0843%1 Jul
mirage16–130.0312%28 Jun
inferno7–13-0.083%28 Jun
inferno8–13-0.0224%27 Jun
cache13–8-0.0510%27 Jun
ancient11–13-0.0213%26 Jun
ancient13–110.048%26 Jun
cache13–10-0.0022%25 Jun
mirage8–13-0.0322%20 Jun
train13–7-0.0516%20 Jun
dust210–13-0.079%20 Jun
ancient8–2-0.0114%14 Jun
dust210–13-0.0315%14 Jun
cache13–11-0.0711%13 Jun
mirage13–5-0.0327%13 Jun
inferno13–9-0.086%13 Jun
nuke9–13-0.098%13 Jun
ancient13–11-0.0217%13 Jun
anubis13–10-0.0313%13 Jun
ancient13–8-0.0415%13 Jun
cache12–12-0.0410%12 Jun
mirage13–40.003%12 Jun
anubis13–2-0.0519%12 Jun
inferno13–30.027%12 Jun
inferno4–13-0.0214%12 Jun
dust21–13-0.100%12 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →