ObeseMonkeGaming — CS2 Stats

76561199286079352[U:1:1325813624]

52Tracked matches37%Win rate2026Tracked since
CSDB Rating0.7 Learning
Ladder ranks via Leetify

Performance scores

Aim1
Positioning14
Utility6

0–100 skill scores via Leetify.

Recent form

COLD17323Last 5233%Win rateLLWTWLWLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim0.1
Aggression0.0
Utility0.6
Positioning1.4
Opening Duels0.0

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

Strengths & areas to improve

Areas to improve

Reaction time. 802ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim0.1
Positioning1.4
Utility0.6
Mechanics1.3
Opening Duels0.0
Win Impact0.7

Composite 0.7/10 (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-0.08+0.00
first ⅓ avg -0.09 → last ⅓ avg -0.08
Reaction time827ms+60ms
first ⅓ avg 767ms → last ⅓ avg 827ms
Headshot accuracy10.7%−4.3%
first ⅓ avg 15.0% → last ⅓ avg 10.7%

Rolling 5-match average across the last 52 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

-0.03Best rating — dust2 13–6
132Biggest win — dust2
2Longest win streak
L2Current streak
3Overtime games

Map breakdown

dust2Best map · 38% over 26mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C26101638%-0.09
mirageD134931%-0.10
nuke42250%-0.09
anubis3030%-0.09
ancient2020%-0.08
inferno21150%-0.13
train2020%-0.06

Across the last 52 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.9%Headshot accuracy
21.9%Accuracy (enemy spotted)
18.4%Spray accuracy
55.8%Counter-strafing
21.3°Preaim
802msReaction time
6.0%T opening success
16.7%CT opening success
0.13Enemies flashed / flash
1.6%Flash assists
2.52HE damage / grenade
0.20Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 21.2712° — above the 12° mark we flag

    Aim Training
  2. 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 11.8507% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 802.4851ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.1223%10 Aug
dust20–13-0.080%17 Jul
dust213–5-0.113%17 Jul
dust212–12-0.048%2 Jul
dust213–6-0.0315%2 Jul
dust26–13-0.0810%1 Jul
dust213–6-0.117%1 Jul
mirage1–13-0.089%28 Jun
dust25–13-0.1020%28 Jun
dust24–13-0.0617%24 May
dust213–2-0.0914%23 May
mirage7–0-0.038%23 May
mirage7–13-0.0913%10 May
dust20–13-0.167%4 May
dust216–13-0.0819%3 May
mirage9–13-0.093%29 Apr
nuke16–12-0.107%28 Apr
mirage7–13-0.1113%28 Apr
mirage1–13-0.110%18 Apr
mirage13–7-0.0920%18 Apr
mirage5–13-0.098%18 Apr
anubis6–13-0.099%18 Apr
mirage9–13-0.134%16 Apr
mirage15–15-0.118%16 Apr
nuke13–10-0.1220%9 Apr
ancient12–12-0.0918%2 Apr
nuke5–13-0.0721%1 Apr
dust24–13-0.1318%1 Apr
dust20–13-0.0811%30 Mar
mirage13–7-0.1014%30 Mar
inferno7–13-0.149%26 Mar
dust213–10-0.1320%26 Mar
dust22–10-0.0713%25 Mar
dust21–13-0.0933%25 Mar
dust213–7-0.0912%25 Mar
anubis3–13-0.095%18 Mar
dust213–11-0.1016%16 Mar
anubis5–13-0.0929%15 Mar
dust213–7-0.0817%11 Mar
dust25–13-0.1121%9 Mar
dust21–13-0.0750%9 Mar
mirage13–7-0.114%9 Mar
inferno13–8-0.1211%5 Mar
train6–13-0.107%26 Feb
train10–13-0.038%26 Feb
dust21–13-0.1013%20 Feb
dust22–13-0.078%20 Feb
dust213–6-0.0711%20 Feb
mirage7–13-0.1014%20 Feb
ancient2–13-0.0717%19 Feb
dust22–13-0.1011%19 Feb
nuke6–13-0.0614%18 Feb

Match data via Leetify.

Recent teammates

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